<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJPed</journal-id><journal-title-group><journal-title>Open Journal of Pediatrics</journal-title></journal-title-group><issn pub-type="epub">2160-8741</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojped.2020.101022</article-id><article-id pub-id-type="publisher-id">OJPed-99144</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Temperature Measurements in Neonates: Assessing the Agreement of Two Methods
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yetunde</surname><given-names>Olasinde</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Moninuola</surname><given-names>Ernest</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gbenga</surname><given-names>Popoola</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Omotayo</surname><given-names>Adesiyun</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kolade</surname><given-names>Ernest</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Department of Paediatrics, University of Ilorin Teaching Hospital, Ilorin, Nigeria</addr-line></aff><aff id="aff1"><addr-line>Department of Paediatrics, Bowen University Teaching Hospital, Ogbomoso, Nigeria</addr-line></aff><aff id="aff3"><addr-line>Resaerch Clinician, WHO Randomized Clinical Trial of Poliomyelitis Vaccines, Ilorin, Nigeria</addr-line></aff><aff id="aff2"><addr-line>Department of Dental Surgery, University of Ilorin Teaching Hospital, Ilorin, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>01</month><year>2020</year></pub-date><volume>10</volume><issue>01</issue><fpage>224</fpage><lpage>230</lpage><history><date date-type="received"><day>27,</day>	<month>February</month>	<year>2020</year></date><date date-type="rev-recd"><day>23,</day>	<month>March</month>	<year>2020</year>	</date><date date-type="accepted"><day>26,</day>	<month>March</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  <em>Background</em>
  <em>:</em> Neonatal temperature response during illness is unpredictable. Whereas accurate temperature measurement is an important diagnostic step in Neonatal practice. Abnormalties in temperature pattern may be a pointer to a sinister condition especially in neonates, whose thermoregulatory mechanism is immature. There are several methods of temperature measurements and the search for a suitable thermometry method in neonates continues. This study compared the forehead non touch infra-red thermometer (NTI
  T) with the axilllary mercury-in-glass (MIGT) method of temperature measurement in neonates. 
  Method: 
  Four hundred babies aged 1 to 28 days were recruited from the immunization clinic of the University of Ilorin Teaching Hospital between August 2016 and May 2017. Temperatures were taken using both NTIT and MIGT in the standard way and recorded.
   
  Result: 
  The mean age and SD was 5.10 &#177; 4.28
   
  days. Pearson correlation showed a positive correlation between the Axillary Mercury-in-Glass and Forehea
  d Non-Touch Infra-red thermometry readings (r
   
  =
   
  0.426, 
  p
   
  &lt;
   
  0.001). Bland-Altman method revealed a good agreement between both methods of thermometry as 95.5% of the readings were within the limits of agreement. 
  Conclusion
  : Axillary Mercury-in-Glass thermometer and Forehead Non touch Infra-red thermometers have a good agreement and can be used interchangeably in neonates.
 
</p></abstract><kwd-group><kwd>Neonates</kwd><kwd> Axillary Mercury-in-Glass Thermometer</kwd><kwd> Forehead Non-Touch Infra-Red Thermometer</kwd><kwd> Bland-Altman</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Accurate temperature measurement is an important diagnostic step in paediatric practice especially in the newborn whose thermoregulatory mechanism is immature [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref2">2</xref>]. Abnormalities in temperature pattern such as a fever or hypothermia may point to problematic conditions such as infections in the newborn [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>]. Different sites exist for measurement of core body temperature, but the most reliable is the pulmonary artery [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref4">4</xref>]. Other sites are the distal oesophagus, nasopharynx, rectum, tympanic membrane and the bladder [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref4">4</xref>]. Measurement of the temperature at these sites is however invasive and best avoided. Temperature reading depends on the site used, however, the commonest sites in children are the axilla, mouth and rectum.</p><p>Several instruments exist for temperature estimation but the quest for a suitable thermometer for temperature measurement in the newborn still continues [<xref ref-type="bibr" rid="scirp.99144-ref5">5</xref>]. Suitability measures include safety, speed, accuracy and cost-effectiveness of the thermometer [<xref ref-type="bibr" rid="scirp.99144-ref5">5</xref>]. Methods of thermometry commonly used in children include; mercury-in-glass (MGIT), electronic (Digital) and Non Touch infra-red thermometers (NTIT) [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>]. While mercury-in-glass thermometers are inexpensive and widely available in developing countries, they contain mercury and so are not recommended due to the potential toxicity of mercury if the thermometer is broken [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>]. Electronic thermometers are relatively more expensive, but provide an accurate and faster way to measure body temperature [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>]. Infra-red thermometers are newer and more promising devices in terms of speed and the non-contact nature confers on it, the advantage for infection control, especially in the newborn whose immune system is not fully developed [<xref ref-type="bibr" rid="scirp.99144-ref6">6</xref>].</p><p>Several studies [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref9">9</xref>] have proposed differing results on the appropriate temperature measurement methods in children. Jarvis et al. [<xref ref-type="bibr" rid="scirp.99144-ref7">7</xref>] although recorded a poor agreement between digital axillary and infra-red thermometers, reported that the infra-red thermometer showed only minimal changes on the neonatal behavioural scale when both thermometers were used in preterm newborns. This connotes that the use of infra-red thermometer caused less disturbance or pain to the newborn during temperature measurement. Similarly, Robertson-Smith et al. [<xref ref-type="bibr" rid="scirp.99144-ref8">8</xref>] and Sethi et al. [<xref ref-type="bibr" rid="scirp.99144-ref2">2</xref>] reported a poor agreement between mid-forehead and digital axillary thermometry readings amongst newborns in an intensive care unit thus concluding that both methods of thermometry could not be used interchangeably in the newborn. Sollai et al. [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>] and De Curtis et al. [<xref ref-type="bibr" rid="scirp.99144-ref9">9</xref>] on the other hand, reported a good agreement between Infra-red and axillary digital thermometry; and Infra-red and rectal mercury-in-glass thermometry respectively, in newborns. This study aimed to compare the traditional axillary mercury-in-glass thermometric readings with forehead Non Touch Infra-red thermometric readings in neonates.</p></sec><sec id="s2"><title>2. Method</title><p>The study was a cross-sectional descriptive study and was carried out between August 2016 and May 2017 at the Immunization Clinic of the University of Ilorin Teaching Hospital, Ilorin. Ethical clearance was obtained as part of a larger study from the University of Ilorin Teaching Hospital Ethics and Research Committee. The minimum sample size required for the study estimated using the Cochran’s formula (at a prevalence of 50) was 384. Allowing for a 10% non-response rate, 422 neonates were recruited into the study, however 22 neonates had incomplete data and 400 neonates were eventually analysed (giving a response rate of 95%). Subject recruitment was carried out by the Researcher and two research assistants who had been duly trained by the Researcher. After a clear explaination had been given to the mother/caregiver, and verbal consent sought from her, a study proforma was administered in an interview form to obtain relevant socio-demographic features such as age of the baby, social class and immunisation history. A brief physical examination was also carried out on the babies. The elligible babies and their mothers were made to sit in the same room with a constant room temperature. Temperature of babies was taken thus:</p><p>Using the NTIT: The NTIT was held at a maximum distance of 5 cm from the midpoint of the forehead area until the signal tone was heard (average of 1 - 2 secs). Temperatures were taken 3 times and the average reading calculated and recorded.</p><p>Using the MIGT: The MIGT was cleaned with alcohol swab and shaken before each use, to drop the mercury column to below 35˚C and placed in the axilla for 3 - 5 minutes before the reading was taken. One reading was taken for each patient. The MIGT was then cleaned again with an alcohol swab.</p><sec id="s2_1"><title>2.1. Selection Criteria</title><p>Inclusion Criteria</p><p>1) Well babies aged 1 - 28 days attending the immunisation clinic whose mothers granted consent to participate in the study.</p><p>Exclusion criteria</p><p>1) Babies whose parents did not give consent.</p><p>2) Babies who were ill.</p></sec><sec id="s2_2"><title>2.2. Data Analysis</title><p>Data were entered into a computer and analysed with SPSS version 21.</p><p>Pearson correlation was used to determine the relationship between the two methods of temperature measurements, while Bland-Altman method was used to test for level of agreement between them. Level of agreement was said to be good as if 95% of the data laid between 1.96 SD of the mean difference between the two methods [<xref ref-type="bibr" rid="scirp.99144-ref10">10</xref>]. According to previous studies, mean of difference was considered good if &lt; 0.5˚C, and satisfactory if &lt; 0.6˚C [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.99144-ref2">2</xref>].</p></sec></sec><sec id="s3"><title>3. Results</title><p>A total of 400 babies were recruited into the study; of these, 207 (51.8%) were males and 193 (48.2%) were females, with a M:F ratio of 1:1. The mean&#177; SD age was 5.10 &#177; 4.28 days. The Mean &#177; SD birth-weight was 3.13 &#177; 0.63 kg. Other details are as shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>There was no significant difference between temperatures taken with the NTIT and the MGIT as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>Using the Pearson correlation technique, there was a positive relationship between the two methods of temperature measurements. (r = 0.426, p &lt; 0.001) Further details are as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>The Bland-Altman plot showed a good agreement between the two methods as 95.5% (382/400) of the paired differences in the readings fell within the limit of agreement. Number of outliers was 8/400 (4.5%) The mean difference between the two thermometers was 0.02.</p><p>The width of agreement was narrow (2.0108) with a lower limit of −0.9878 (95% CI, −1.0763 to −0.8993) and an upper limit of 1.0230 (95% CI, 0.9345 to 1.1115). Other details are as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p></sec><sec id="s4"><title>4. Discussion</title><p>The mean body temperature of newborns obtained with the axillary MGIT in the current study was similar to that reported in healthy newborns studied by Sollai et al. [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>], but much lower than that reported by Chiappini [<xref ref-type="bibr" rid="scirp.99144-ref12">12</xref>]; probably due to the fact that Chiappini studied febrile children. Also, the mean temperatures</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Socio-demographic variables of the study participants</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Frequency (N = 400)</th><th align="center" valign="middle" >Percent</th></tr></thead><tr><td align="center" valign="middle" >Age (days)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle"  colspan="2"  >5.10 &#177; 4.28</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle"  colspan="2"  >1.0 - 28.0</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >51.8</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >48.2</td></tr><tr><td align="center" valign="middle" >Birth weight (Kg)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean &#177; SD</td><td align="center" valign="middle"  colspan="2"  >3.13 &#177; 0.63</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle"  colspan="2"  >1.00 - 4.70</td></tr><tr><td align="center" valign="middle" >Place of birth</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Home</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >15.0</td></tr><tr><td align="center" valign="middle" >Traditional birth</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >7.0</td></tr><tr><td align="center" valign="middle" >Mission</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >Hospital</td><td align="center" valign="middle" >254</td><td align="center" valign="middle" >63.5</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >5.0</td></tr><tr><td align="center" valign="middle" >Social class</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >228</td><td align="center" valign="middle" >57.0</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >37.5</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >5.5</td></tr></tbody></table></table-wrap><p>Kg: Kilogram, Oyedeji classification of Social Class [<xref ref-type="bibr" rid="scirp.99144-ref11">11</xref>]: classes I&amp;II: High social class, social class III: middle class, Social classes IV&amp;V: Low social class.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Mean body temperature</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Mean &#177; SD</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >p value</th></tr></thead><tr><td align="center" valign="middle" >NTIT Temperature reading</td><td align="center" valign="middle" >36.80 &#177; 0.50</td><td align="center" valign="middle" >0.668</td><td align="center" valign="middle" >0.505</td></tr><tr><td align="center" valign="middle" >Axillary (MGIT) reading</td><td align="center" valign="middle" >36.78 &#177; 0.45</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>t: Paired samples T test.</p><p>obtained by the two methods of thermometry were similar, simulating the report of Chiappini et al. [<xref ref-type="bibr" rid="scirp.99144-ref12">12</xref>] who stated no significant difference between the mean thermometric readings obtained by both axillary MGIT and forehead NTIT methods.</p><p>The significant positive correlation between the two thermometry methods showed that both thermometers can be used interchangeably. This is similar to previous studies by Gasim [<xref ref-type="bibr" rid="scirp.99144-ref13">13</xref>] and Edelu [<xref ref-type="bibr" rid="scirp.99144-ref14">14</xref>], though carried out amongst older children.</p><p>The mean difference in the current study was similar to a previous study by Sollai et al. [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>]. Furthermore, the number of outliers was small; connoting that there was no great difference in the paired readings taken with both devices. In the same light, the two thermometers showed a good agreement, as the limit of agreement was narrow. This is similar to the reports of Sollai [<xref ref-type="bibr" rid="scirp.99144-ref1">1</xref>], Chiappini [<xref ref-type="bibr" rid="scirp.99144-ref12">12</xref>] and De Curtis [<xref ref-type="bibr" rid="scirp.99144-ref9">9</xref>] who also reported a good agreement between NTIT and mercury thermometers. This is however contrary to the findings of Sethi [<xref ref-type="bibr" rid="scirp.99144-ref2">2</xref>], Jarvis [<xref ref-type="bibr" rid="scirp.99144-ref7">7</xref>] and Robertson-Smith [<xref ref-type="bibr" rid="scirp.99144-ref8">8</xref>] who reported poor agreement between digital axillary and forehead infra-red thermometers. The reason for the disparity may be due to the fact these authors compared temperature readings using axillary digital thermometers and NTIT as opposed to axillary Mercury-in-glass thermometers used in this study; further stressing the fact that temperature measurement differed with the device used in measuring it [<xref ref-type="bibr" rid="scirp.99144-ref3">3</xref>].</p></sec><sec id="s5"><title>5. Conclusion</title><p>Axillary MGIT and forehead NTIT had a good positive correlation and a good level of agreement.</p></sec><sec id="s6"><title>Recommendation</title><p>For speed, convenience, safety and infection control, axillary MGIT can be replaced by forehead NTIT in neonates.</p></sec><sec id="s7"><title>Limitation of the Study</title><p>Rectal temperature, which is a better estimate of the core temperature in neonates was not carried out in this study and may be a line of future research in this age group.</p></sec><sec id="s8"><title>Funding</title><p>No specific Grants available for this work.</p></sec><sec id="s9"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s10"><title>Cite this paper</title><p>Olasinde, Y., Ernest, M., Popoola, G., Adesiyun, O. and Ernest, K. (2020) Temperature Measurements in Neonates: Assessing the Agreement of Two Methods. 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